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Study
Study of Corn Species Identification Based on Digital Image Processing
Author:Cheng Hong supervisor:Professor Sift刁lixing Maj∞ComputerApplied Technology
Along with the development of information technique,digital image processing and identilying technology bd30mes a vital one in inspecting the quality of seed by computer. The main purpose ofthis paper is tO deeply research the corn species identification mainly by computer image processing technology.As well this paper involves in other knowledges such as photograph,optics,plant physiology,chroma,paRem recognition etc.
First,the main contents ofthe paper are as follows:
1.The image ofcorn seed collection
The method of shooting image is researched 011 to advance the identification accuracy by computer and reduce restrictive conditions when collect image.Zhengdan958, Liaodan565,Jingke25 which are in common use in this region are selected as the researched objects.nis paper analyzes their images which are obtained under different conditions.
2.The image ofcorn seed pre-process
Parttioning Background:This paper decides to adopt iterative method through starting
experiment by a few partition methods and comparing the experiment results.
Smoothing image:After parttioning background,there are same isolated noise points in the image.By consulting datum,self-adjnsing median filter is adopted to smoothing image.
Correcting color:A method is found out in the research that correct image color according to the color of the standard whiteboard.Using the method to correct color improves the accuracy ofcom seed color in the image.
Seed separation:Standard whiteboard and separate seeds arc distilled Mainly by labeling area method.
3.The characteristic ofcorn seed pick-up
In addition to a few general characteristics about color,shape and size.This paper
finds out the ratio of white part(embryo)and yellow part(crown)of corn seed and their shapes are useful.Then,by deeply researching in this aspect,new characteristics such as th
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